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Trading strategies, feedback control and market dynamics

Author

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  • Alvarez-Ramirez, Jose
  • Suarez, Rodolfo
  • Ibarra-Valdez, Carlos

Abstract

Markets have internal dynamics leading to stilized facts, such as fat-tails in price fluctuations and long-run memory. In this paper, we use a nonequilibrium price formation rule to explore feedback effects in trading strategies and market dynamics. By interpreting trading strategies as a feedback controller, we show that (a) trend followers can lead to oscillatory phenomena, and (b) adaptation mechanisms are necessary in order prices track values.

Suggested Citation

  • Alvarez-Ramirez, Jose & Suarez, Rodolfo & Ibarra-Valdez, Carlos, 2003. "Trading strategies, feedback control and market dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 220-226.
    • Handle: RePEc:eee:phsmap:v:324:y:2003:i:1:p:220-226
    DOI: 10.1016/S0378-4371(02)01857-5
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    References listed on IDEAS

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    Cited by:

    1. Yan Li & Bo Zheng & Ting-Ting Chen & Xiong-Fei Jiang, 2017. "Fluctuation-driven price dynamics and investment strategies," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-15, December.
    2. Immonen, Eero, 2015. "A quantitative description for efficient financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 171-181.
    3. Damian Pastor & Pavel Kisela & Viliam Kovac & Tomas Sabol & Viliam Vajda, 2015. "Application Of Market Valuation Models In Portfolio Management," Polish Journal of Management Studies, Czestochowa Technical University, Department of Management, vol. 12(1), pages 154-165, DEcember.
    4. Immonen, Eero, 2017. "Simple agent-based dynamical system models for efficient financial markets: Theory and examples," Journal of Mathematical Economics, Elsevier, vol. 69(C), pages 38-53.

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